| 1 |
Learning to Rank Chain-of-Thought: Using a Small Model |
提出能量结果奖励模型以提高数学推理的准确性 |
large language model chain-of-thought |
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| 2 |
MoTime: A Dataset Suite for Multimodal Time Series Forecasting |
提出MoTime数据集以解决多模态时间序列预测问题 |
multimodal |
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| 3 |
Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC |
提出系统化方法评估边缘设备上的大型语言模型性能 |
large language model |
✅ |
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| 4 |
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification |
提出人本交互学习框架以提升文本到图像的行人重识别效果 |
large language model multimodal |
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| 5 |
Why and When Deep is Better than Shallow: An Implementation-Agnostic State-Transition View of Depth Supremacy |
提出深度优于浅层的理论框架以解决模型泛化问题 |
chain-of-thought |
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| 6 |
PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration |
提出PiFlow以解决科学发现中的不确定性问题 |
large language model |
✅ |
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